AI Engineer

At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.

Join our client's team, where you'll play a key role in shaping AI-powered solutions for Credit & Lending use cases. Your contribution will help deliver high-impact solutions in financial services – intelligent systems built on LLMs and RAG that bring real insight to complex financial data.

You'll step in as an AI Engineer , working closely with engineers, product managers, and business experts to design, implement, and deploy AI solutions end-to-end. Your role will be central to building reliable, production-grade systems that leverage the latest in LLM and RAG technology – not just execution.

Sounds like your kind of challenge?

#LI - Hybrid: 2x/week from the office in Kraków

What you get in return

Flexible cooperation model

Hybrid work setup – remote days available depending on the client’s arrangements

Collaborative team culture – work alongside experienced professionals eager to share knowledge

Continuous development – access to training platforms and growth opportunities

Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more

High quality equipment – laptop and essential software provided

Daily tasks

• Design, test, and optimize prompts for Large Language Models (LLMs) to deliver high-quality, reliable outputs for Credit & Lending use cases.
• Develop and implement RAG (Retrieval-Augmented Generation) pipelines and vector database solutions to unlock insights from complex financial data.
• Participate in the full solution lifecycle – from problem discovery and prototyping through to design, implementation, and production deployment.
• Apply AI best practices to ensure fairness, transparency, and accountability across all models and applications.
• Co-author solution designs and architecture; maintain and evolve products in production.
• Utilize cloud platforms (Azure, GCP) for the development, deployment, and scaling of AI models.
• Write and maintain high-quality, testable, and reusable code.
• Collaborate with a cross-functional team to align technical efforts with strategic goals

Requirements

Python (3+ years of hands-on experience)

Practical experience with LLMs, Prompt Engineering, and RAG (Retrieval-Augmented Generation)

Knowledge of Agentic architectures

Background in machine learning, deep learning, and NLP

Vector Databases and SQL Databases (PostgreSQL)

FastAPI, LangChain

Knowledge of Microservices architecture, API design, Observability, and Concurrency models

Azure and/or GCP – cloud development, deployment, and scaling

Practical experience with TDD and BDD

Strong English communication skills – ability to present technical solutions to business stakeholders

Nice to have

Java (regular use) and Spring framework

Redis (KV stores)

Kubernetes and CI/CD tooling (Jenkins, Azure DevOps, GCP Cloud Build)

Container-based development (Docker, Data containers)

Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.

Must have: Python, Machine learning, Deep learning, NLP, SQL, PostgreSQL, FastAPI, Microservices architecture, API, Azure, GCP, Cloud development

Nice to have: TDD, BDD, Communication skills, Java, Spring Framework, Kubernetes, CD, Jenkins, Azure DevOps, Cloud, Docker